Dr. Anuradha Laishram | Computer vision | Best Researcher Award
Doctorate at National Institute of Technology Manipur, India
Dr. Anuradha Laishram is an accomplished Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology Manipur. With a Ph.D. in Computer Science from the same institution, her research has significantly contributed to the fields of medical image processing and deep learning. She holds a Master’s degree from UVCE, Bangalore University, and a Bachelor’s degree from Visvesvaraya Technological University, Belgaum. Dr. Laishram is known for her expertise in machine learning and her active involvement in impactful research projects, including mHealth solutions and AI translation software. Her dedication to teaching and research makes her a prominent figure in the academic community.
profile:
š Education
- Ph.D. in Computer Science and Engineering
- University: National Institute of Technology Manipur
- Year of Award: 2022
- Thesis Title: Automatic Classification of Kidney Diseases and Oral Types and Anomalies using Ultrasound Images and Orthopantomogram Radiography Images based on Hybrid Neural Networks and Deep Learning
- Master of Engineering in Computer Science and Engineering
- University: UVCE, Bangalore University
- Year of Passing: 2011
- Percentage: 79.8%
- Project: Minimizing Delay and Maximizing Lifetime of Wireless Sensor Network
- Bachelor of Engineering in Computer Science and Engineering
- University: Visvesvaraya Technological University, Belgaum
- Year of Passing: 2008
- Percentage: 64.5%
- Other Educational Achievement:
- Qualified GATE Exam 2008 with an All India Rank of 474 and 97.29 percentile.
Professional Experience
Dr. Anuradha Laishram has extensive experience in academia, currently serving as an Assistant Professor at the National Institute of Technology Manipur in the Department of Computer Science and Engineering since 2014. Prior to this, she gained six months of teaching experience as a lecturer at Alpha College of Engineering, Bangalore in 2011. Her teaching repertoire includes both undergraduate and postgraduate courses such as Computer Programming in C, Data Structures and Algorithm, Computer Organization and Architecture, and Data Communication and Computer Networks. She is proficient in programming languages including C, C++, and Python.
š¬ Research
Dr. Laishram’s research interests lie in the fields of machine learning, deep learning, medical image processing, and wireless sensor networks. Her doctoral research focused on the automatic classification of kidney diseases and oral anomalies using advanced neural network techniques and deep learning models. She has also contributed to various sponsored research projects, including the development of mHealth solutions for remote tribal areas and AI translation software.
Publication:š
- A Deep Learning Approach based on Faster R-CNN for Automatic Detection and Classification of Teeth in Orthopantomogram Radiography Images (2024)
- Journal: IETE Journal of Research
- Volume: 70
- Issue: 2
- Pages: 1316ā1327
- Kidney Diseases Classification based on SONN and MLP-GA in Ultrasound Radiography Images (2023)
- Journal: International Journal of Computational Science and Engineering
- Volume: 26
- Issue: 5
- Pages: 602ā613
- Optimal Path Planning for Mobile Robot Navigation Using FA-TPM in Cluttered Dynamic Environments (2022)
- Conference: Procedia Computer Science
- Volume: 218
- Pages: 612ā620
- Automatic Classification of Oral Pathologies Using Orthopantomogram Radiography Images Based on Convolutional Neural Network (2022)
- Journal: International Journal of Interactive Multimedia and Artificial Intelligence
- Volume: 7
- Issue: 4
- Pages: 69ā77
- Detection and Classification of Dental Pathologies using Faster R-CNN in Orthopantomogram Radiography Image (2020)
- Conference: 2020 7th International Conference on Signal Processing and Integrated Networks (SPIN 2020)
- Pages: 423ā428